Abstract: A map image generation apparatus acquires material specification information representing a material specification of a material and physical property information representing a physical property of a product. The map image generation apparatus generates a self-organizing map by using the physical property information. A position in a map space, and a physical property vector indicating, for each of a plurality of types of physical properties of the product, a value related to a physical property quantity of the physical property are assigned to each of nodes on the self-organizing map. The map image generation apparatus assigns, by using the material specification information, a specification vector indicating a value related to the material specification to each of the nodes. The map image generation apparatus generates a map image in which the nodes are clustered or colored based on the specification vectors.

Abstract: In a compatibility evaluation device, the acquisition means acquires outputs of a first predictor and a second predictor for evaluation data. The index determination means determines a generalized backward compatibility index defined by a combination of a plurality of relational expressions representing relationship between the output of the first predictor and the output of the second predictor. The calculation means calculates a score indicating compatibility of the first predictor and the second predictor, using the output of the first predictor, the output of the second predictor, and the generalized backward compatibility index.

Abstract: In order to more improve a level of satisfaction of a passenger in transportation including a plurality of vehicles, a management apparatus (100A) includes: a detecting section (13A) which detects a passenger in a vicinity of a doorway of at least any vehicle included in a plurality of vehicles; an obtaining section (11A) which obtains (i) information indicative of an attribute of the passenger who has been detected by the detecting section (13A) and (ii) information indicative of an attribute of the at least any vehicle having the doorway in which the passenger has been detected; and a setting section (12A) which sets a fare to be collected from the passenger, in accordance with a combination of the attribute of the passenger and the attribute of the at least any vehicle.

Abstract: A road deterioration diagnosis device according to an aspect of the present disclosure includes: at least one memory configured to store instructions, deterioration information including a detection status of a pothole, and a maintenance status of the detected pothole in each section, the each section obtained by dividing a predetermined region by a predetermined size; and at least one processor configured to execute the instructions to cause a display to display a map indicating the deterioration information in the each section.

Abstract: A signal control apparatus is connected to a plurality of traffic signals located on a road with a plurality of intersections having travel lanes with designated traffic classifications. The signal control apparatus comprises: means for detecting the number of vehicles staying in the travel lane or lanes of the same traffic classification among the travel lanes of the plurality of intersections; means for determining whether or not to extend or reduce signaling time for permitting traffic of the traffic classification of the travel lane or lanes based on the number of vehicles staying in the travel lane or lanes of the same traffic classification at the plurality of intersections and means for adjusting split of the plurality of traffic signals based on a result of the determination so as to extend or reduce the signaling time.

Abstract: An information processing device acquires, based on a set including a plurality of samples in which a first value and a second value are associated with each other, a first distribution that is a probability distribution of a first function for calculating the second value from the first value. The information processing device acquires, based on a second distribution having an average different from an average of each argument of the first function in the first distribution, a second function for calculating an evaluation value for an argument value of the first function. The information processing device determines, based on the evaluation value by the second function, an argument value for sampling a function value of the first function.

Abstract: The image processing device 1X includes a classification means 31X, an image selection means 33X, and a region extraction means 34X. The classification means 31X classifies each captured image acquired in time series by photographing an inspection target by a photographing unit provided in an endoscope, according to whether or not the each captured image includes an attention part to be paid attention to. The image selection means 33X selects a target image to be subjected to extraction of a region of the attention part from the each captured image, based on a result of the classification. The region extraction means 34X extracts the area of the attention part from the target image.

Abstract: A model learning device determines a first machine learning model so as to further increase a combined loss function obtained by combining: a first loss function indicating the level of change in the reliability of a second image feature in a feature region of a reconstructed image, from the reliability of a first image feature in a feature region of the original image; and a second loss function indicating the level of recognition error. In addition, the model learning device: determines, so as to further reduce the combined loss function, respective parameter sets for a second machine learning model used in the generation of compressed data, and a third machine learning model used in the generation of the reconstructed image from the compressed data; and determines a parameter set for the fourth machine learning model in common with that for the first machine learning model.

Abstract: A server apparatus (10) includes an image processing unit (110), a comparison unit (120), and an output unit (130). The image processing unit (110) processes an image of a product shelf in which a target product that is currently unprofitable in a shop is captured and identifies at least one of a shelf space allocation state of the target product and a state of the surroundings of the target product. The comparison unit (120) compares an identification result of at least one of the shelf space allocation state of the target product and the state of the surroundings of the target product with comparison information indicating one or more predetermined confirmation items for the target product. The output unit (130) outputs a comparison result between the identification result and the comparison information.

Abstract: The participant terminal 80 includes imaging means 81 for shooting video of the participant who uses the participant terminal 80, frequency measurement means 82 for measuring the number of nods of the participant from the shot video, and action information transmission means 83 for transmitting action information that information of the participant is associated with the number of nods to the server 70. The server 70 includes transmission means 71 for transmitting the action information to the speaker terminal 90. The speaker terminal 90 includes participant output means 91 for outputting the information of the participant in order according to the number of nods included in the action information.

Abstract: The image processing device 1X includes an acquisition means 31X, a selection means 32X, and a determination means 33X. The acquisition means 31X is configured to acquire data obtained by applying Fourier transform to an endoscopic image of an examination target photographed by a photographing unit provided in an endoscope. The selection means 32X is configured to select partial data that is a part of the data. The determination means 33X is configured to make a determination regarding an attention point to be noticed in the examination target based on the partial data.

Abstract: An entry control device according to the present disclosure includes: a first biometric authentication control unit that acquires first biometric information from a predetermined user who tries to enter a facility including a plurality of regions where entry is restricted in each of a plurality of locking systems, and controls first biometric authentication; an attribute information acquisition unit that acquires attribute information about the user when the authentication has succeeded; a registration unit that registers, in association with a patron in a storage device, second biometric information acquired from the user when an attribute of the user is an authorized user; a second biometric authentication control unit that acquires biometric information including the second biometric information from the user, and controls second biometric authentication; and an unlocking control unit that instructs unlocking to the locking system when the authentication has succeeded.

Abstract: In a learning device, an acquisition means acquires captured images in a time series which capture a target object. Next, a learning means simultaneously trains a group discrimination model for discriminating a plurality of groups from the captured images based on features in each image and a plurality of recognition models each for recognizing captured images belonging to a corresponding group.

Abstract: An information processing apparatus (10) includes: determination means (11) for determining a range for providing notification of information regarding a specific object on the basis of a moving direction of the specific object detected on the basis of an image, a position where the image has been captured, and an elapsed time since the image has been captured; and transmission means (12) for transmitting the information regarding the specific object to a device corresponding to the range determined by the determination means.

Abstract: A planning assistance system according to an aspect of the present disclosure includes at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: receive a comment of each of users for each of a plurality of events included in a travel plan; and cause a display to display the received comment in association with each of the events.

Abstract: A training device including a motion data acquisition unit that acquires first motion data related to a target motion, a first generation unit that generates pseudo first motion data by using a first generation model, a determination unit that calculates a determination loss indicating a degree of deviation between the first motion data and the pseudo first motion data using a determination model, a relevance calculation unit that reconfigures the target motion by a combination of basis motions and calculate a degree of relevance between the target motion and the basis motions, a regularization loss calculation unit that calculates a regularization loss indicating a degree of deviation between motion data related to the basis motions and the pseudo first motion data, and an adversarial training processing unit that adversarially trains the first generation model and the determination model using the determination loss and the regularization loss.

Abstract: In order to provide technologies for implementing a control light receiving function and a signal light monitoring function by means of a simple configuration, this light control device includes: a wavelength-variable filter having a variable transmissive wavelength for transmitting input light; a photoelectric converter for converting output light from the wavelength-variable filter into an electric signal; and a controller for setting a transmissive wavelength and controlling a communication device on the basis of an electric signal corresponding to the transmissive wavelength.

Abstract: A fundamental matrix generation apparatus performs: detecting three or more feature point pairs from a first image and a second image; detecting, for each of the feature point pairs, a derived point pair that is a pair of a derived point separated by a first distance in a first direction from a point on the first image included in the feature point pair and a derived point separated by a second distance in a second direction from a point on the second image included in the feature point pair; generating a fundamental matrix or the fundamental matrix representing an epipolar constraint on a point on the first image and a point on the second image by using the detected feature point pairs and derived point pairs.

Abstract: A notification system includes: detection means (110) for detecting an acoustic event from voice data transmitted from a communication terminal held by a target person; and notification means (120) for sending a predetermined notification when the detection means (110) has detected the acoustic event. Accordingly, it is possible to determine the state of a target person regardless of the state of this person. Further, when the difference between an acoustic pattern of the voice data transmitted from the communication terminal and acoustic patterns registered in advance is outside a predetermined range, a management server (101) does not send a notification, whereby it is possible to prevent communication traffic from being increased based on unnecessary notifications.

Abstract: Provided is a monitoring system that provides appropriate notification in accordance with whether or not a person to be monitored is with a registered companion. This monitoring system is provided with: a recognition unit which recognizes a person to be monitored and a registered companion associated with the person to be monitored; and a notification unit which notifies a prescribed contact that the person to be monitored has been recognized. When it is recognized that the person to be monitored is with the registered companion, the notification unit refrains from notifying the contact.